不爲也 比不能也

If you have no idea what questions you will want to ask your data when you start ingesting it, columnar storage is probably a good option for you: it helps in two areas that are often close to the heart of users who deal with large amounts of data:data를 index하기 시작할 때, 어떤 query를 해야하는지 잘 모를 경우, 아마도 column 저장소가 좋은 선택일 수 있다. 이는 방대한 양의 data를 처리하는 사용자의 의도와 가까운 2가지 영역에 도움이 된다. Storage efficiency: Since..

Engineers can resist anything except giving their processes more resources: bigger, better, faster, more of cycles, cores, RAM, disks and interconnects! When these resources are not a bottleneck, this is wasteful but harmless. For processes like Elasticsearch that run on the JVM, the luring temptation is to turn the heap up; what harm could possibly come from having more heap? Alas, the story is..

Our final topic in this chapter is about an internal aspect of Elasticsearch. While we don’t demonstrate any new techniques here, doc values are an important topic that we will refer to repeatedly, and is something that you should be aware of.이 장의 마지막 주제는 Elasticsearch의 내부에 대한 것이다. 여기에서는 새로운 기술을 보여주지는 않지만, doc values는 반복적으로 언급할 중요한 주제이며, 알아야 한다.When you sort on a field, Elasticsearch needs acces..

This section covered a lot of ground, and a lot of deeply technical issues. Aggregations bring a power and flexibility to Elasticsearch that is hard to overstate. The ability to nest buckets and metrics, to quickly approximate cardinality and percentiles, to find statistical anomalies in your data, all while operating on near-real-time data and in parallel to full-text search—these are game-chan..